Sheng Liu
- Cognitive Neuroscience top 2%
- Molecular Biology
- Neurology top 5%
- Cellular and Molecular Neuroscience top 5%
- Epidemiology
- Co-authors
- Dora E. AngelakiGregory C. DeAngelisFan‐Gang ZengYong GuYun YangChristopher R. FetschXaq PitkowHui Lin
- Topics
- Single-cell and spatial transcriptomics (12 papers)Visual perception and processing mechanisms (12 papers)Neuroinflammation and Neurodegeneration Mechanisms (10 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Sheng Liu
108 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Cognitive Neuroscience 708
- Molecular Biology 684
- Neurology 295
- Cellular and Molecular Neuroscience 272
- Epidemiology 223
Countries citing papers authored by Sheng Liu
This map shows the geographic impact of Sheng Liu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sheng Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheng Liu more than expected).
Fields of papers citing papers by Sheng Liu
This network shows the impact of papers produced by Sheng Liu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sheng Liu. The network helps show where Sheng Liu may publish in the future.
Co-authorship network of co-authors of Sheng Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Sheng Liu. A scholar is included among the top collaborators of Sheng Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sheng Liu. Sheng Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 24 | |
| 3 | 13 | |
| 4 | 8 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 11 | |
| 8 | 26 | |
| 9 | 36 | |
| 10 | 16 | |
| 11 | 43 | |
| 12 | 1 | |
| 13 | 36 | |
| 14 | The HMGB1-RAGE axis modulates the growth of autophagy-deficient hepatic tumors | 1 |
| 15 | Epigenomic profiling of retinal progenitors reveals LHX2 is required for developmental regulation of open chromatin | 1 |
| 16 | 14 | |
| 17 | 9 | |
| 18 | 39 | |
| 19 | Program analysis: from qualitative analysis to quantitative analysis. | 4 |
| 20 | [Synergistic effects of different types of smoking and other risk factors on risk of hepatocellular carcinoma in Xiamen, China]. | 3 |
About Sheng Liu
Sheng Liu is a scholar working on Neurology, Cognitive Neuroscience and Developmental Neuroscience, having authored 111 papers that have together received 2.4k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (12 papers), Visual perception and processing mechanisms (12 papers) and Neuroinflammation and Neurodegeneration Mechanisms (10 papers). The work is most often cited by research in Sensory Systems (188 citations), Cognitive Neuroscience (708 citations) and Neurology (295 citations). Sheng Liu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Dora E. Angelaki, Gregory C. DeAngelis, Fan‐Gang Zeng, Yong Gu, Yun Yang, Christopher R. Fetsch, Xaq Pitkow, Hui Lin, Zengwu Shao and Alexandre Pouget. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.